Python Developer

Led development of the Vixor Market Making Platform, designing overall system architecture and leading backend implementation and overseeing the frontend team. Designed scalable RESTful APIs using FastAPI, supporting project-based configurations and a multi-tenant architecture. Structured a production-grade PostgreSQL database using SQLModel ORM, modeling projects, exchange pairs, users, bots, and configurations. Designed and implemented a multi-tier RBAC system (Main Admin, Project Admin, Moderator, Viewer) with secure sub-user invitation flows. Implemented secure authentication using JWT and Web3 wallet-based login, including NFT-gated access for premium features. Built WebSocket infrastructure to stream live ticker data, bot metrics, and system state updates to client dashboards. Designed a distributed task execution system using Celery, RabbitMQ, and Redis, decoupling API requests from bot execution into separate bot micro-services. Enabled clients to control bots (start/stop/update configurations) through dashboard with API endpoints, with asynchronous execution across independent bot servers. Integrated a Redis Cluster caching layer to reduce redundant database queries and improve response latency. Developed a custom CRUD abstraction layer combining SQLModel and Redis caching for efficient and optimized data access. Designed and implemented a CCXT and API-based automated market-making bot, supporting dynamic two-sided liquidity strategies. Implemented automated order placement, spread management, and order refresh logic to maintain continuous 24/7 exchange activity. Integrated multiple centralized exchanges with configurable pair-based trading strategies.

Developed and maintained a Telegram bot integrated with Firebase (NoSQL) to deliver real-time alerts on project updates. Designed and implemented API integrations for multiple centralized cryptocurrency exchanges, enabling seamless onboarding and integration of new exchanges into the ecosystem. Built API-driven data collection pipelines to identify potential cryptocurrency projects and synchronize structured datasets to Google Sheets, supporting business team with actionable insights.

Integrated multiple centralized and decentralized exchange using API, CCXT and Web3.py, improving the market making ecosystem. Developed a modular backtesting framework capable of applying configurable technical strategies to historical OHLCV datasets for strategy evaluation and optimization. Designed and implemented a Telegram-based multi-market screener (stocks and cryptocurrencies) that applies technical indicators such as MACD, RSI, and breakout logic, generating automated trade alerts. Led the full migration from Firebase (NoSQL) to PostgreSQL (AWS RDS), significantly improving relational integrity, scalability, and query performance. Implemented schema version control and database migrations using SQLAlchemy and Alembic, ensuring structured and maintainable database evolution. Developed an automated monthly reporting module that extracts and processes structured analytics from PostgreSQL datasets. Deployed, managed, and monitored market making bots on AWS EC2, ensuring 24/7 uptime, system reliability, and log monitoring.